There is one session available:
Ethical AI for Students
About this course
Skip About this courseGenAI is revolutionising the way in which we work and study, but, as with many new developments in technology it brings ethical challenges. Stories of AI bias, inaccuracy and plagiarism have caused many people to be cautious about embracing the potential benefits of GenAI.
This course will take you through the benefits of using GenAI and explore the ethical challenges it presents, so you can be confident that the AI content you produce is unbiased, accurate and transparent.
Our approach is simple yet effective - we believe in the power of scenarios to enhance your understanding and retention of key concepts. Instead of bombarding you with theoretical lectures, we want to immerse you in practical situations where you can apply your new found knowledge in real-world, practical scenarios.
By actively engaging with these scenarios, you'll not only grasp the fundamentals of AI ethics but also develop critical thinking skills essential for navigating the complexities of our digital world.
At a glance
What you'll learn
Skip What you'll learn- Recognise commonly used AI terminology
- Identify the positives and negatives of using GenAI as a student
- Recognise the consequences of using incorrect or biased information created by GenAI
- Recognise correct ways to cite the use of AI
- Identify differences in the usage protocols of different policies
- Recognise ways you can ethically use GenAI in the workplace
- Reflect on possible future AI developments in AI
- Recognise when something has been created using AI.
Syllabus
Skip SyllabusModule 1
The benefits of GenAI We'll starting by looking at the benefits and background of AI before we get into the thorny dilemmas. You need to know what AI is, how it works and how much it's embedded into our daily lives to understand the nuances and difficulties of using AI ethically.
At the end of this section, you will be able to:
▪ Recognise commonly used AI terminology.
▪ Identify the positives and negatives of using GenAI as a student
Module 2: Hallucinations, bias and transparency
In this module we will explore the key ethical principles that guide responsible AI use for learners, and discuss concepts such as transparency and accountability, biases and hallucinations in AI systems. We will focus on how each of these may affect how you use AI and how you may use AI to research – whether it be for an academic paper, for a report or for a project at work.
At the end of this section, you will be able to:
▪ Recognise the consequences of using incorrect or biased information created by GenAI.
▪ Recognise correct ways to cite the use of AI.
Module 3: Privacy, security and intellectual property
Not every organisation you're involved with will have clear guidelines and how AI should be used. In this module, we will explore some further ethical challenges that users face when engaging with GenAI. We'll discuss guidelines and frameworks around responsible use of AI, keeping your data private and secure and intellectual property rights and copyright.
At the end of this section, you will be able to:
▪ Identify differences in the usage protocols of different policies.
▪ Recognise ways you can ethically use GenAI in the workplace.
Module 4: The future of AI
Part of maintaining ethical use of AI, involves keeping on top of future trends and continually learning about the way it is changing. This module will look at how you can weigh up the positives and negatives of using GenAI to cope with disruption to the workplace, assess the impact of GenAI on society, and stay on top of changing attitudes towards the use of GenAI and changes to government policy and regulation.
At the end of this section, you will be able to:
▪ Reflect on possible future developments in AI.
▪ Recognise when something has been created using AI.****
Frequently Asked Questions
Skip Frequently Asked QuestionsQuestion: This course is self-paced, but is there a course end date?
Answer: Yes. The current course run ends on 31 July 2025
Certificate | Free | |
---|---|---|
Price | $125 USD | - |
Access to course materials | Unlimited | Limited Expires on Dec 20 |
World-class institutions and universities | ||
edX support | ||
Shareable certificate upon completion | ||
Graded assignments and exams |